Application of Machine Learning for prediction of microstructure and mechanical performances in Solid-State Joining Processes
Autores:
B. Klusemann, F.E. Bock, U. F. H. Suhuddin, L.A. Blaga, J.F. dos Santos
Publicado en:
2021 TMS Annual Meeting & Exhibition, 2021
Editor:
The Minerals, Metals, and Materials Society
Development and Application of Hybrid Joining in Lightweight Integral Aircraft Structures – DAHLIAS
Autores:
J.F. dos Santos
Publicado en:
Presented at the“6th International Conference on Scientific and Technical Advances on Friction Stir Welding & Processing”, 2019
Editor:
University Louvain-la-Neuve, Belgium
Development and Application of Hybrid Joining in Lightweight Integral Aircraft Structures – DAHLIAS
Autores:
J.F. dos Santos
Publicado en:
Proceedings of the “2019 International Congress on Welding, Additive Manufacturing and Associated Non-Destructive Testing”, 2019
Editor:
Institut de Soudure
Refill friction stir spot welding of aluminium EN AW-7075-T6
Autores:
K. Faes
Publicado en:
Presented at the “6th International Conference on Scientific and Technical Advances on Friction Stir Welding & Processing”, 2019
Editor:
University Louvain-la-Neuve, Belgium
Refill friction stir spot welding of EN AW-7075-T6 sheets
Autores:
K. Faes
Publicado en:
Erfahrungsaustausch Reibschweisssen, SLV Munich, 12 March 2019., 2019
Editor:
SLV Munich
Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data, 24th International Conference on Material Forming
Autores:
F.E. Bock, T. Paulsen, N. Brkovic, L. Rieckmann, D. Kroegerb, D. Wolgast, P. Zander, U.F. H. Suhuddin, J.F. dos Santos, B. Klusemann
Publicado en:
24th International Conference on Material Forming - ESAFORM 2021, 2021, ISBN 978-2-87019-002-9
Editor:
ULiège Library